new and important titles in pattern recognition and artificial intelligence 2018 series in machine perception and artificial intelligence vol 82 document analysis and text recognition edited by c h chen university of massachusetts dartmouth usa benchmarking state-of-the-art systems edited by volker mÃ¤rgner technische universitÃ¤t braunschweig germany umapada pal indian statistical institute india apostolos antonacopoulos university of salford uk the compendium presents the latest results of the most prominent competitions held in the field of document analysis and text recognition it includes a description of the participating systems and the underlying methods on one hand and the datasets used together with evaluation metrics on the other hand this volume also demonstrates with examples how to organize a competition and how to make it successful it will be an indispensable handbook to the document image analysis community readership researchers academics professionals and

fuzzy logic for beginners by masao mukaidono meiji university japan there are many uncertainties in the real world fuzzy theory treats a kind of uncertainty called fuzziness where it shows that the boundary of yes or no is ambiguous and appears in the meaning of words or is included in the subjunctives or recognition of human beings fuzzy theory is essential and is applicable to many systems â€” from consumer products like washing machines or refrigerators to big systems like trains or subways recently fuzzy theory has been a strong tool for combining new theories called soft computing such as genetic algorithms or neural networks to get knowledge from real data readership undergraduates in engineering and computer science as well as general readers 116pp 978-981-02-4534-4pbk feb 2001 us$28 Â£23 an introduction to genetic algorithms for scientists and engineers by david a coley university of exeter this invaluable book has been designed to be useful to most practising